Analysis and Diagnosis on Looseness of Transformer Winding Based on VMD

ZHANG Jiusi; MA Hongzhong; LI Yong; XU Honghua; ZHU Hao

doi:10.13296/j.1001-1609.hva.2021.08.027

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Analysis and Diagnosis on Looseness of Transformer Winding Based on VMD

更新时间：2025-04-26

- Analysis and Diagnosis on Looseness of Transformer Winding Based on VMD
- High VoltageApparatus Vol. 57, Issue 8, Pages: 198-208(2021)
- 作者机构：
  
  1. 河海大学能源与电气学院
  2. 国网江苏省电力有限公司南京供电分公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2021.08.027
  CLC： TM41
- Published：2021
- 稿件说明：
移动端阅览
ZHANG Jiusi, MA Hongzhong, LI Yong, et al. Analysis and Diagnosis on Looseness of Transformer Winding Based on VMD[J]. High voltageapparatus, 2021, 57(8): 198-208.
DOI：

ZHANG Jiusi, MA Hongzhong, LI Yong, et al. Analysis and Diagnosis on Looseness of Transformer Winding Based on VMD[J]. High voltageapparatus, 2021, 57(8): 198-208. DOI： 10.13296/j.1001-1609.hva.2021.08.027.

摘要

为了及时有效地诊断变压器绕组松动故障

针对变压器空载合闸振动信号

提出了一种基于变分模态分解(VMD)的分析方法。首先运用VMD对绕组松动前后变压器表面合闸振动信号进行最优模态分解

建立信息熵—峭度—相关系数综合评价模型

并运用熵权—TOPSIS法提取特征模态分量;通过计算变压器振动信号能量熵进一步判定绕组状态;最后搭建测试平台进行实验验证。结果表明

绕组松动和正常状态下变压器振动信号在特征频率和能量分布上均存在明显差异

该方法为变压器绕组松动故障诊断提供了新的思路。

Abstract

In view of no load closing vibration signal

a kind of analysis based on variational mode decomposition（VMD）is proposed in order to diagnose timely and effectively the looseness of transformer winding.Firstly

the VMD is used to decompose the optimal mode of the closing vibration signal on the transformer surface before and after winding looseness.The comprehensive evaluation model of information entropy-kurtosis-correlation coefficient is set up and the characteristic modal component is extracted by using entropy weight-TOPSIS method.The condition of the winding is determined further by way of calculating the energy entropy of transformer vibration signal.Finally

the test platform is set up for experimental verification.The result shows that the winding looseness and the vibration signal of the transformer under normal condition have significant difference in characteristic frequency and energy distribution.The method provides new idea for diagnosis of looseness of transformer winding.

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